Intelligent Optimisation Techniques - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Intelligent Optimisation Techniques write by Duc Pham. This book was released on 2012-12-06. Intelligent Optimisation Techniques available in PDF, EPUB and Kindle. This work gives a concise introduction to four important optimization techniques, presenting a range of applications drawn from electrical, manufacturing, mechanical, and systems engineering-such as the design of microstrip antennas, digital FIR filters, and fuzzy logic controllers. The book also contains the C programs used to implement the main techniques for those wishing to experiment with them.
Modern Optimisation Techniques in Power Systems
Modern Optimisation Techniques in Power Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Modern Optimisation Techniques in Power Systems write by Yong-Hua Song. This book was released on 2013-03-14. Modern Optimisation Techniques in Power Systems available in PDF, EPUB and Kindle. The electric power industry is currently undergoing an unprecedented reform. The deregulation of electricity supply industry has introduced new opportunity for competition to reduce the cost and cut the price. It is a tremendous challenge for utilities to maintain an economical and reliable supply of electricity in such an environment. Faced by an increasingly complicated existence, power utilities need efficient tools and aids to ensure that electrical energy of the desired quality can be provided at the lowest cost. The overall objective, both for short-term and long-term operations, is then to find the best compromise between the requirements of security and economy. That is, effective tools are urgently required to solve highly constrained optimisation problems. In recent years, several major modem optimisation techniques have been applied to power systems. A large number of papers and reports have been published. In this respect, it is timely to edit a book on this topic with an aim to report the state of the art development internationally in this area.
Multi-Objective Optimization using Artificial Intelligence Techniques
Multi-Objective Optimization using Artificial Intelligence Techniques - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Multi-Objective Optimization using Artificial Intelligence Techniques write by Seyedali Mirjalili. This book was released on 2019-07-24. Multi-Objective Optimization using Artificial Intelligence Techniques available in PDF, EPUB and Kindle. This book focuses on the most well-regarded and recent nature-inspired algorithms capable of solving optimization problems with multiple objectives. Firstly, it provides preliminaries and essential definitions in multi-objective problems and different paradigms to solve them. It then presents an in-depth explanations of the theory, literature review, and applications of several widely-used algorithms, such as Multi-objective Particle Swarm Optimizer, Multi-Objective Genetic Algorithm and Multi-objective GreyWolf Optimizer Due to the simplicity of the techniques and flexibility, readers from any field of study can employ them for solving multi-objective optimization problem. The book provides the source codes for all the proposed algorithms on a dedicated webpage.
Learning and Intelligent Optimization
Learning and Intelligent Optimization - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Learning and Intelligent Optimization write by Ilias S. Kotsireas. This book was released on 2020-07-18. Learning and Intelligent Optimization available in PDF, EPUB and Kindle. This book constitutes the refereed post-conference proceedings on Learning and Intelligent Optimization, LION 14, held in Athens, Greece, in May 2020. The 37 full papers presented together with one invited paper have been carefully reviewed and selected from 75 submissions. LION deals with designing and engineering ways of "learning" about the performance of different techniques, and ways of using past experience about the algorithm behavior to improve performance in the future. Intelligent learning schemes for mining the knowledge obtained online or offline can improve the algorithm design process and simplify the applications of high-performance optimization methods. Combinations of different algorithms can further improve the robustness and performance of the individual components. Due to the COVID-19 pandemic, LION 14 was not held as a physical meeting.
Computational Intelligence for Optimization
Computational Intelligence for Optimization - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Computational Intelligence for Optimization write by Nirwan Ansari. This book was released on 2012-12-06. Computational Intelligence for Optimization available in PDF, EPUB and Kindle. The field of optimization is interdisciplinary in nature, and has been making a significant impact on many disciplines. As a result, it is an indispensable tool for many practitioners in various fields. Conventional optimization techniques have been well established and widely published in many excellent textbooks. However, there are new techniques, such as neural networks, simulated anneal ing, stochastic machines, mean field theory, and genetic algorithms, which have been proven to be effective in solving global optimization problems. This book is intended to provide a technical description on the state-of-the-art development in advanced optimization techniques, specifically heuristic search, neural networks, simulated annealing, stochastic machines, mean field theory, and genetic algorithms, with emphasis on mathematical theory, implementa tion, and practical applications. The text is suitable for a first-year graduate course in electrical and computer engineering, computer science, and opera tional research programs. It may also be used as a reference for practicing engineers, scientists, operational researchers, and other specialists. This book is an outgrowth of a couple of special topic courses that we have been teaching for the past five years. In addition, it includes many results from our inter disciplinary research on the topic. The aforementioned advanced optimization techniques have received increasing attention over the last decade, but relatively few books have been produced.
